instagram-analyzer is an application written in Python that analyzes geotags using reverse geocoding in user's Instagram photos and videos.
It provides the data of specific locations, countries and cities you've visited so far, as well as how many times and which Instagram posts match the location.
Use responsibly.
Application loads all user's instagram media and saves it in JSON format to insta_media_data.json
. This data includes all media metadata, including likes, location, tagged users, comments, image url-s ...
Analyzes geotags and saves locations in JSON format to insta_locations_data.json
. This data includes occurrence for each location as well as image and instagram media url-s ...
Countries and cities are additionally analyzed using reverse geocoding with LocationIQ API. Data is saved in insta_countires_data.json
and insta_cities_data.json
files.
You have visited 99 different locations
You have visited 7 different countries
You have visited 32 different cities
For example, when executed for nejckorasa print for countries looks like this:
Countries:
+------+-----------------+-------------+
| rank | country | occurrences |
+------+-----------------+-------------+
| 1 | Slovenia | 51 |
+------+-----------------+-------------+
| 2 | The Netherlands | 12 |
+------+-----------------+-------------+
| 3 | Spain | 8 |
+------+-----------------+-------------+
| 4 | Poland | 8 |
+------+-----------------+-------------+
| 5 | Russia | 7 |
+------+-----------------+-------------+
| 6 | Croatia | 7 |
+------+-----------------+-------------+
| 7 | Hungary | 6 |
+------+-----------------+-------------+
Similar tables are printed for specific locations and cities.
To install instagram-analyzer:
$ pip install instagram-analyzer
To update instagram-analyzer:
$ pip install instagram-analyzer --upgrade
Once installed, import it, configure it and run it:
from instagram_analyzer import InstaAnalyzer
InstaAnalyzer(
insta_token='<INSTAGRAM_TOKEN_HERE>',
location_iq_token='<LOCATION_IQ_TOKEN_HERE>').run()
Before you run it, see Configuration & Options
Go to Pixelunion, generate token, don't forget the token!
Go to Location IQ, sign up, get the token, don't forget the token!
Create InstaAnalyzer
instance with token values.
analyzer = InstaAnalyzer(
insta_token='<INSTAGRAM_TOKEN_HERE>',
location_iq_token='<LOCATION_IQ_TOKEN_HERE>')
analyzer.read_media_from_file = False
analyzer.run()
Once instagram media data is stored in JSON, you can read it from there, instead of loading it again via Instagram API (API is limited to 200 request per hour). Set
analyzer.read_media_from_file = True
location_iq_token
is optional. If not set only basic location analysis will be run and saved to file.- Once
InstaAnalyzer
has been run all data is available to access:
# Configure InstaAnalyzer
analyzer = InstaAnalyzer(
insta_token='<INSTAGRAM_TOKEN_HERE>',
location_iq_token='<LOCATION_IQ_TOKEN_HERE>')
# Run InstaAnalyzer
analyzer.run()
# Access cities, countries and location data
cities = analyzer.cities
countires = analyzer.countires
locations = analyzer.locations
# Access instagram media data
instagram_media = analyzer.insta_media_data
# Print locations later
analyzer.print_locations()
When executed for nejckorasa data for one country item (Spain) looks like this:
"Spain": {
"count": 8,
"media_items": [
[
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/e7705068da5e289f5e44c0c396c08f74/5BD54C95/t51.2885-15/sh0.08/e35/p640x640/36149213_609452269436842_8766778259800064000_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/Bkh3-KfgxL9/"
}
],
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/2b239894a363f6bbe93d604ab2cdfa8a/5BE953CD/t51.2885-15/sh0.08/e35/p640x640/33941046_171665143683479_8766885676932136960_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/Bj7Uj56gxBs/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/9d7003f674af9ca05accf9961df893a6/5BE28FDA/t51.2885-15/sh0.08/e35/p640x640/33120615_197967877520708_8731075699906969600_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/Bjmp-6bAYus/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/1e7ca79fc44823ff3ef8b24e6dd55e61/5BD1E8C3/t51.2885-15/sh0.08/e35/p640x640/33608474_597094857325212_724188974242856960_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/BjR_9lpAqpc/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/1b046c05b1cbe9708f57f5e591b68d1c/5BD8E039/t51.2885-15/sh0.08/e35/p640x640/32947036_172314443452529_4611639929133334528_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/BjNEIwiA6Py/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/5ac0e05fb60700cba4c41d6d1216eb5b/5BC8A9DB/t51.2885-15/e15/10802615_318814311644936_1896556761_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/vdWuHBkwuY/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/40620d8f5e7e01a546e2b958d18bd42a/5BE9E99F/t51.2885-15/e15/10784835_319487204924131_388050040_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/vYybQyEwiA/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/b733c0bdf312ee5c21bb3fd6148e6221/5BE263EA/t51.2885-15/e15/10802986_691193854310946_2042620114_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/vc9ZFakwrq/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/875bff08c310444273eae90a67e525dd/5BC8F29F/t51.2885-15/e15/928044_671144066338855_1666493611_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/vaWbQLEwqX/"
}
]
}
Of course, <post_id>
will be an actual post ID.
Data for cities is almost the same. For specific location one location item looks like this:
"236678869": {
"latitude": 45.7925,
"longitude": 15.1647,
"name": "Novo Mesto",
"id": 236678869,
"count": 4,
"media_items": [
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/6941d16b164ec488dd3a303004344f78/5BE40DE8/t51.2885-15/sh0.08/e35/p640x640/31270267_1592482480868234_8257495365851283456_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/Bij24yzAdHB/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/3189c0f2e5931f47b4506046ff26afff/5BDB6109/t51.2885-15/e15/10724200_1496985983889525_746072573_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/uDDPHekwtW/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/fbf31b5c410c9036ce43862012249d02/5BEC3F36/t51.2885-15/e15/10488704_250740985124191_1862853011_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/q94LWMkwlk/"
},
{
"id": "<post_id>",
"image": "https://scontent.cdninstagram.com/vp/27c6681709c7b71fc86d8477c11d2b88/5BCAD041/t51.2885-15/e15/10013254_641464529259998_1091484863_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
"link": "https://www.instagram.com/p/mKDvsikwsC/"
}
],
"city": "Novo mesto",
"additional_data": {
"place_id": "113385772",
"licence": "\u00a9 LocationIQ.org CC BY 4.0, Data \u00a9 OpenStreetMap contributors, ODbL 1.0",
"osm_type": "way",
"osm_id": "167321715",
"lat": "45.7897769",
"lon": "15.1680662",
"display_name": "Krka, Novo mesto, Jugovzhodna Slovenija, 8000, Slovenia",
"address": {
"suburb": "Krka",
"town": "Novo mesto",
"state_district": "Jugovzhodna Slovenija",
"postcode": "8000",
"country": "Slovenia",
"country_code": "si"
},
"boundingbox": [
"45.7858017",
"45.7927137",
"15.1640388",
"15.1725268"
]
}
}
Notice additional_data
field, this data is populated using Location IQ API
For reverse geocoding, Location IQ API is used. Free version of that API si rate limited to 1 request per second. That is why additional data loading takes <different_location_count>
seconds.
Pull requests are welcome, Show your β€ with a β